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ibert-roberta-base-Abusive_Or_Threatening_Speech
This model is a fine-tuned version of kssteven/ibert-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0802
- Accuracy: 0.9741
- F1: 0.7773
- Recall: 0.8610
- Precision: 0.7084
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 0.0771 | 1.0 | 1828 | 0.0802 | 0.9741 | 0.7773 | 0.8610 | 0.7084 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.8.0
- Tokenizers 0.12.1
